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huawei-noah_TinyBERT_General_6L_768D_fold_0
OliverHeine/huawei-noah_TinyBERT_General_6L_768D_fold_0
huawei-noah_TinyBERT_General_6L_768D_fold_0 is a text classification model from OliverHeine. Use it when you need a label for a piece of text. It is set up for transformers.
should probably proofread and complete it, then remove this comment. --
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At a glance
- Task
- Text Classification
- Library
- transformers
- Model type
- bert
- Access
- Public
- Created
- Apr 16, 2026
- Updated
- Apr 17, 2026
- SHA
- 4f7e8609
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Model card
From the Hugging Face model README
<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->
huawei-noah_TinyBERT_General_6L_768D_fold_0
This model is a fine-tuned version of huawei-noah/TinyBERT_General_6L_768D on the None dataset. It achieves the following results on the evaluation set:
- Loss: 0.1152
- Accuracy: 0.9612
- F1: 0.9572
- Precision: 0.9684
- Recall: 0.9462
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
- learning_rate: 2e-05
- train_batch_size: 40
- eval_batch_size: 40
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 3
- mixed_precision_training: Native AMP
Training results
| Training Loss | Epoch | Step | Validation Loss | Accuracy | F1 | Precision | Recall |
|---|---|---|---|---|---|---|---|
| 0.1082 | 1.0 | 15481 | 0.1258 | 0.9503 | 0.9444 | 0.9695 | 0.9206 |
| 0.1063 | 2.0 | 30962 | 0.1077 | 0.9595 | 0.9552 | 0.9684 | 0.9423 |
| 0.0783 | 3.0 | 46443 | 0.1152 | 0.9612 | 0.9572 | 0.9684 | 0.9462 |
Framework versions
- Transformers 5.3.0
- Pytorch 2.10.0+cu128
- Datasets 4.6.1
- Tokenizers 0.22.2
- Task
- Text Classification
- Library
- transformers
- Type
- bert
- Created
- Apr 16, 2026
- Updated
- Apr 17, 2026